Michael B. McCoy

Publication Activity (10 Years)

Years Active: 2012-2018
Publications (10 Years): 1

Top Topics

Convex Optimization

Risk Minimization

Source Separation

Top Venues

Found. Comput. Math.

Discret. Comput. Geom.

IEEE Signal Process. Mag.

Publications

Martin Lotz, Michael B. McCoy, Ivan Nourdin, Giovanni Peccati, Joel A. Tropp
Concentration of the Intrinsic Volumes of a Convex Body. CoRR (2018)
Gilad Lerman, Michael B. McCoy, Joel A. Tropp, Teng Zhang
Robust Computation of Linear Models by Convex Relaxation. Found. Comput. Math. 15 (2) (2015)
Michael B. McCoy, Joel A. Tropp
From Steiner Formulas for Cones to Concentration of Intrinsic Volumes. Discret. Comput. Geom. 51 (4) (2014)
Michael B. McCoy, Volkan Cevher, Quoc Tran-Dinh, Afsaneh Asaei, Luca Baldassarre
Convexity in Source Separation : Models, geometry, and algorithms. IEEE Signal Process. Mag. 31 (3) (2014)
Michael B. McCoy, Joel A. Tropp
Sharp Recovery Bounds for Convex Demixing, with Applications. Found. Comput. Math. 14 (3) (2014)
Dennis Amelunxen, Martin Lotz, Michael B. McCoy, Joel A. Tropp
Living on the edge: A geometric theory of phase transitions in convex optimization CoRR (2013)
Michael B. McCoy, Volkan Cevher, Quoc Tran-Dinh, Afsaneh Asaei, Luca Baldassarre
Convexity in source separation: Models, geometry, and algorithms. CoRR (2013)
Michael B. McCoy, Joel A. Tropp
The achievable performance of convex demixing. CoRR (2013)
Michael B. McCoy, Joel A. Tropp
Sharp recovery bounds for convex deconvolution, with applications CoRR (2012)
Gilad Lerman, Michael B. McCoy, Joel A. Tropp, Teng Zhang
Robust computation of linear models, or How to find a needle in a haystack CoRR (2012)